Data Analyst Manager

Mohali · CONTRACT

Compensation: ₹8,00,000 – ₹9,00,000/month

1 opening

Posted 28 Oct 2026

About the role

Flipkart is looking for a hands-on Data Analyst Manager to lead a high-impact analytics pod at the centre of one of India's largest e-commerce ecosystems. In this contract role based in Mohali, you will own the analytics roadmap for a fast-moving business area — translating vast volumes of transactional, customer and supply-chain data into decisions that move conversion, profitability and customer experience. You will split your time between deep analytical work and developing a team of analysts, partnering closely with product, category, marketing, operations and engineering leaders to turn open-ended business questions into measurable outcomes. If you enjoy building analytics from the ground up, mentoring talent, and seeing your insights ship as real product and business changes at nationwide scale, this role offers the scope, pace and visibility to do exactly that. About the Company: Flipkart is one of India's leading e-commerce marketplaces, connecting millions of customers with products, sellers and services across the country through a technology-first platform. Built around a culture of customer obsession, ownership and audacious problem-solving, Flipkart operates at massive scale in a fast-evolving industry where data and technology drive nearly every decision. Its teams work on genuinely hard problems — from supply chain and logistics to personalisation and payments — with the opportunity to shape how a billion people shop. Responsibilities: • Lead, coach and grow a team of 4-8 data analysts — setting priorities, reviewing analytical rigor, and building a culture of accuracy, speed and business ownership. • Own end-to-end analytics for a designated business area: define success metrics, build and maintain KPI dashboards, and establish a single source of truth for stakeholders. • Translate ambiguous business questions into structured analyses using SQL and Python/R, delivering clear, actionable recommendations rather than raw numbers. • Design, build and maintain scalable data pipelines and ETL workflows in partnership with data engineering, ensuring data quality, freshness and governance. • Drive experimentation and measurement — design A/B tests, define guardrail metrics, and interpret results to guide product and marketing decisions. • Prepare and present insight packs to senior leadership, converting complex findings into crisp narratives that inform monthly and quarterly business reviews. • Identify process gaps and automation opportunities, reducing manual reporting effort and improving turnaround on recurring business asks. • Partner cross-functionally with product, category, operations, finance and marketing teams to embed data-driven decision-making into their day-to-day workflows. Qualifications: • 5+ years of experience in data analytics or business intelligence, including at least 1-2 years managing or formally mentoring a team of analysts. • Advanced SQL proficiency — comfortable writing complex joins, window functions and query optimizations on large datasets. • Strong command of Python or R for data manipulation and analysis (pandas, numpy, scikit-learn or equivalents). • Hands-on experience with BI and visualization tools such as Tableau, Power BI or Looker, including dashboard design for non-technical audiences. • Solid grounding in statistics — hypothesis testing, experiment design, regression and confidence intervals — and the judgment to know when a result is trustworthy. • Experience with ETL/ELT tooling and data warehouses (BigQuery, Snowflake, Redshift or similar), and comfort working with messy, large-scale data. • Proven stakeholder management skills: ability to push back constructively, manage competing priorities, and influence without direct authority. • Excellent written and verbal communication skills in English, with a track record of presenting analysis to senior business leaders. • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering or a related quantitative field. Benefits: • Competitive contract compensation of ₹8,00,000 – ₹9,00,000 per month. • Direct exposure to leadership and nationwide business impact within a large-scale e-commerce ecosystem. • Access to enterprise-grade data platforms, tooling and a strong peer analytics community. • Structured onboarding and continuing learning support, including access to internal and external upskilling resources. • Employee wellness and mental-health support programmes. • Collaborative, high-ownership culture with real autonomy over your domain and team direction. • Central Mohali location with modern office facilities and flexible hybrid working arrangements. • Strong internal mobility and networking opportunities across business, product and technology teams.

About Flipkart

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